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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
Published on: June 15, 2018
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Shared and distinct electroencephalogram microstate abnormalities across schizophrenia, bipolar disorder, and
Rui Xue1,2,3,4, Xiaojing Li1,3,4, Wei Deng1,3,4
1Affiliated Mental Health Center & Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Psychological Medicine
|May 13, 2024
Summary
Electroencephalogram (EEG) microstate transitions differ across schizophrenia, bipolar disorder, and major depressive disorder. These findings reveal distinct subsecond brain dynamics in major psychiatric disorders.
Area of Science:
- Neuroscience
- Psychiatry
- Brain Dynamics
Background:
- Electroencephalogram (EEG) microstates are stable voltage topographies reflecting brain dynamics.
- Altered EEG microstates are observed in schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD).
- Subsecond timescale whole-brain dynamics differences among SCZ, BD, and MDD remain unclear.
Purpose of the Study:
- To investigate and compare EEG microstate transition patterns in individuals with SCZ, BD, MDD, and healthy controls (HCs).
- To elucidate similarities and differences in subsecond brain dynamics across major psychiatric disorders.
Main Methods:
- Cross-sectional study of 1112 participants: 380 SCZ, 330 BD, 212 MDD, and 190 HCs.
- Resting-state EEG data analyzed using microstate analysis.
Main Results:
- Schizophrenia, bipolar disorder, and major depressive disorder exhibit distinct EEG microstate transition patterns.
- All patient groups showed increased transitions between microstates A and B compared to HCs.
- SCZ and MDD groups had reduced A-C and C-A transitions; SCZ showed increased C-D and D-C transitions.
Conclusions:
- EEG microstate transition abnormalities are implicated in major psychiatric disorders.
- Findings highlight altered neural asset distribution and microstate transitions in SCZ, BD, and MDD.
- Provides insights into subsecond timescale brain dynamics in psychiatric conditions.
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